Real-time control delay estimation is an important performance measure for any intersection to improve the signal timing plans dynamically in real-time and hence improve the overall system performance. Control delay estimates helps to determine the level-of-service (LOS) characteristics of various approaches at an intersection and takes into account deceleration delay, stopped delay and acceleration delay. All kinds of traffic delay calculation especially control delay calculation has always been complicated and laborious as there never existed a low-cost direct method to find them in real-time from the field. A recent validated technology called Bluetooth Median Access Control (MAC) ID matching traffic data collection technology seems to hold promise for continuous and cost-effective traffic data collection. Bluetooth traffic data synchronized with vehicle trajectory plot generated from GPS probe vehicle runs has been used to develop control delay models which has a potential to predict the control delays in real-time based on Bluetooth detection error parameters in field. Incorporating control delay estimates in real-time traffic control management would result in significant improvement in overall system performance. / Master of Science

A normative study of a regional organisation exercising governance using Global governance as a guiding theory. Association of Southeast Asian Nations (ASEAN) is one of the biggest regional organisations, often compared to the European Union (EU) in terms of efficacy and non-legal binding approach, as well as the non-conformity of western liberal ideology. This thesis conducts a case study of ASEAN through the lens of interpretivist ontology and epistemology using critical discourse analysis while considering the deviation of the regional history, experience, and identity. The inevitable fully leaning reliance on technology that runs the societal and political infrastructure today has resulted in many states and regions to develop their Privacy law or internet governance. The thesis analyses frameworks, publications, and dialogues among ASEAN Member states as well as their dialogue partners. The texts are placed within the discursive practices that ASEAN functions as a collective entity in international relations in which governance no longer requires an official body of government. ASEAN’s long record of cooperation has always been motivated by economic prosperity. There is a notable growing concerns of privacy which is in need of data protection, ASEAN has displayed the realisation as well as a potential and gradual shift into a mindset where digital footprint can transcend from a nascent norm into what other community might take for granted as a universal right to the general public and the basic obligation of the government.

The diploma thesis deals with the optimization of marketing communication strategy of the hospital institution SurGal Clinic s.r.o. The goal of this thesis is to formulate more effective marketing communication strategy with hospital`s clients on the basis of obtained results from both conducted analyses of inner and outer environment and own marketing research. The suggested solutions were processed according to project management principals.

<div><p>Analyzing behaviors of objects on the road is a complex task that requires data from various sensors and their fusion to recreate movement of objects with a high degree of accuracy. A data collection and processing system are thus needed to track the objects accurately in order to make an accurate and clear map of the trajectories of objects relative to various coordinate frame(s) of interest in the map. Detection and tracking moving objects (DATMO) and Simultaneous localization and mapping (SLAM) are the tasks that needs to be achieved in conjunction to create a clear map of the road comprising of the moving and static objects.</p> <p> These computational problems are commonly solved and used to aid scenario reconstruction for the objects of interest. The tracking of objects can be done in various ways, utilizing sensors such as monocular or stereo cameras, Light Detection and Ranging (LIDAR) sensors as well as Inertial Navigation systems (INS) systems. One relatively common method for solving DATMO and SLAM involves utilizing a 3D LIDAR with multiple monocular cameras in conjunction with an inertial measurement unit (IMU) allows for redundancies to maintain object classification and tracking with the help of sensor fusion in cases when sensor specific traditional algorithms prove to be ineffectual when either sensor falls short due to their limitations. The usage of the IMU and sensor fusion methods relatively eliminates the need for having an expensive INS rig. Fusion of these sensors allows for more effectual tracking to utilize the maximum potential of each sensor while allowing for methods to increase perceptional accuracy. </p> <p>The focus of this thesis will be the dock-less e-scooter and the primary goal will be to track its movements effectively and accurately with respect to cars on the road and the world. Since it is relatively more common to observe a car on the road than e-scooters, we propose a data collection system that can be built on top of an e-scooter and an offline processing pipeline that can be used to collect data in order to understand the behaviors of the e-scooters themselves. In this thesis, we plan to explore a data collection system involving a 3D LIDAR sensor and multiple monocular cameras and an IMU on an e-scooter as well as an offline method for processing the data to generate data to aid scenario reconstruction. </p><br></div>

Thesis (MScEng (Electrical and Electronic Engineering))--Stellenbosch University, 2008. / In this thesis the design of a low-cost ad hoc network for short distance data acquisition applications with low data arrival intervals will be presented. The focus is on cost reduction by replacing the traditional high power radios with low-power RF transceivers. The conventional way of using multiple stationary repeater towers (depending on the network) is also replaced by using an ad hoc con guration, where each individual station also serves as a repeater station to adjacent stations. This approach reduces network design time enormously, seeing that the network is able to con gure itself. By using this auto-routing multi-hop approach, data acquisition points are no longer restricted to the reception areas of base stations. A CSMA contention protocol is used for the data communication. Current models used to model this protocol are dependent on various assumptions. In the research reported in this thesis, a statistical study of the collision probability is performed and the results used to expand the current CSMA models. Inter-dependent characteristics of this model are also further enhanced to provide a more realistic model. A simulink model of the particular CSMA protocol is also designed. Both the mathematical- and the simulink models provide relatively good predictions when compared to actual measured results

Den tekniska utvecklingen har möjliggjort ett mer uppkopplat samhälle genom enklare informationstillgång och mer avancerad informationshantering. Den här framfarten har legat till grund för utveckling av samlingsbegreppet Internet of Things, där automatiserade datainsamlingssystem är betydande för insamling av mer kvantitativa datamängder. Detta har lett till att företag inom flera olika industrier har integrerat tekniken i delar av verksamheten för att samla in en betydande datamängd i syfte att utveckla och förbättra de egna processerna. Intresset och framförallt behovet av den här typen av teknologi finns inom byggindustrin. För ett byggföretag som vill arbeta med digitala lösningar i deras arbete gäller att skapa förståelse för varför den typen av lösning ska användas och hur den kan nyttjas på bästa sätt. Vid implementering och anpassning av en ny teknik är det nödvändigt för företag att identifiera vilka möjligheter och hinder som kan uppstå. Därav är syftet med studien att undersöka möjligheten att samla in realtidsdata genom en automatiserad insamlingsprocess i produktionsfasen hos ett byggföretag. Vidare undersöks hur processen bidrar till kvalitetssäkring och ständiga förbättringar i byggprojekten. Detta för att skapa medvetenhet hos byggföretag om en ny teknik som kan underlätta deras arbete och hindra uppkomst av problem. En fallstudie har genomförts hos byggföretaget JM AB som har en lång erfarenhet av byggprocesser och byggprojekt. För att skapa förståelse kring studiens ämne och slutsatser har en en teoretisk referensram innehållandes teorier om bland annat kvalitetssäkring och datainsamling byggts upp. Genom tio intervjuer med anställda av olika befattningar, två observationer på ett av fallföretagets byggprojekt och en intervju med ett externt företag sammanställdes en empirisk undersökning. På så sätt erhölls insikt i hur fallföretaget arbetar med datainsamlingsprocesser och vilka tekniker som finns på marknaden. Genom analys av fallstudien framkom det tydligt att fallföretaget inte har välutarbetade datainsamlingsprocesser inom flera områden i byggproduktionen. En viktig slutsats i studien är att användandet av ett processinnovationsramverk kan skapa förutsättningar för en effektiv och automatiserad datainsamlingsprocess. Ramverket ger stöd till huruvida en automatisk datainsamlingsprocess är lönsamt samt skapar förståelse kring processen innan den är redo att implementeras. Dessutom möjliggör en automatiserad datainsamlingsprocess kvalitetsförbättringar med hjälp av ett kvalitetskontrollramverk som kan öka kvaliteten genom att reducera problem och lösa dem fortare. Kvalitetskontrollerna blir systematiska och utifrån genererad data kan jämförelser göras för att identifiera defekter så att arbete mot snabbare handlingsåtgärder kan skapas. Utifrån slutsatserna har fyra rekommendationer tagits fram, den första är att använda processinnovationsramverk vid undersökning av en ny automateringsprocess. Den andra är att testa automatiserade datainsamlingsprocesser i mindre projekt för att erhålla ökad förståelse. Den tredje är att systematiskt arbeta med ett kvalitetskontrollramverk utifrån genererad data. Den sista rekommendationen är att använda insamlad data till faktabaserade beslut och sträva mot ständiga förbättringar. / Technological developments have enabled a more connected society with easier access to information that creates opportunities for more advanced information management. This has been the basis for development of the generic term Internet of Things, where automated data collection systems are significant for the collection of quantitative data set. Companies in various industries are embracing the integration of this type of technology in their businesses to generate data that is possessed to improve their processes. The interest and especially the need for this type of technology is huge in the construction industry.   For construction companies that wants to work with digital solutions, it is important to create an understanding of why this type of solution is to be used and how it best can be utilized. In implementation and adaption of a new technology, it is necessary for companies to identify the opportunities and obstacles that may arise. Hence, the purpose of this study is to examine the feasibility of collecting real-time data through an automated collection process in the production phase at a construction company, and how it contributes to quality assurance and continuous improvement in construction projects. In this way, awareness among construction companies of a new technique can facilitate their work and prevent upcoming problems. A case study has been carried out at the construction company JM AB who has a long experience of construction processes. To create an understanding about the study topic and conclusions, a theoretical framework was compiled including theories about quality assurance and data collection. Through ten interviews with employees of different positions, two observations at one of the case company’s construction projects and one interview with an external company, an empirical study was compiled. In this way, insights were obtained into how the case company is working with data collection processes and what techniques that are available on the market. Through analysis of the case study, it crearly appeared that the case company does not have well-developed data collection processes in several areas of the building production. One important conclusion of the study is that the use of a process innovation framework can create conditions for an efficient and automated data collection process. The framework supports whether an automated data collection process is profitable and it creates an understanding of the process prior of its implementation. Another important conclusion is that an automated data collection process allows quality improvements through the help of a quality control framework that can increase the quality by reducing problems and solving them faster. Hence, quality controls become systematic and based on generated data, comparisons can be made to identify defects in order to work systematically toward faster action measures. Based on the findings, four recommendations were developed. The first one is to use process innovation framework for the examination of a new automatic process. The second is to test automated data collection processes into smaller projects to obtain greater understanding. The third is to work systematically on a quality control framework based on generated data. The last recommendation is to use the collected data for fact-based decisions and to strive for continuous improvement.

Social networks have integrated into people’s daily lives and they became a powerful medium for effective marketing and communication worldwide. Problem raise when governments and special agencies violate users’ information privacy under the pretext of protecting national security or something as, furthermore, when information became the source of income for social networks it became necessary to investigate users concerns about informational privacy on social platforms, if there are. The main purpose of the thesis is to understand what level of privacy awareness users on social networks have and how much relevant knowledge about surveillance on social networks they recognize. Moreover, the thesis aims to present users’ opinion about surveillance on Facebook and if they accept to be surveyed in certain scenarios. As results, the study has identified ambiguity in Facebook terms and data policy, while there has been clarity that Facebook applies massive surveillance in terms of data collection on all users on the network. 71% of the participants had concerns about their privacy on social networks, two-thirds of the participants didn’t read Facebook terms and 76% did believe that social networks sell users information for own benefits. The majority of the interview participants showed lack of knowledge about data collection on social networks, and didn’t know if governments do surveillance on social platforms or not. However, 37% of the survey participants claimed that they have nothing to hide and governments can look into their activities online, and almost similar percentage supported such an action. Further, most of the interview participants protect their informational privacy on social networks by having good privacy settings, controlling who have access to certain posts or managing friends list. However, 1/3 of the participants who had good privacy settings didn’t know all their friends on FB. Through personal observations on data analysis and literature review, I concluded the thesis with some suggestions of possible approaches to enhance information privacy, these recommendations present my own thoughts and weren’t derived in academic way rather personal notes during the thesis study.

By using innovative methods, such as the automated transfer of corporate electronic data to National Statistical Institutions, official transport data can be significantly improved in terms of reliability, costs and the burden on respondents. In this paper, we show that the automated compilation of statistical reports is possible and feasible. Based on previous findings, a new method and tool were developed in cooperation with two business partners from the logistics sector in Austria. The results show that the prototype could successfully be implemented at the partner companies. Improved data quality can lead to more reliable analyses in various fields. Compared to actual volumes of investments into transport, the costs of transport statistics are limited. By using the new and innovative data collection techniques, these costs can even be reduced in the long run; at the same time, the risk of bad investments and wrong decisions caused by analyses relying on poor data quality can be reduced. This results in a substantial value for business, research, the economy and the society.

Discrete-event simulations are increasingly being used to solve problems and to aid in decision making which are proving useful in the manufacturing industry. The main aim for this thesis was to compare the current production line and how implementing changes for a future state as a supporting basis for making the decision. The theoretical framework focused on the Lean philosophy merged with simulation-based methods. The simulation model was build using the collected data. A time study was conducted in order to verify the process and setup times since these were only estimated at the time. Two simulation models were built for the current production line and the future state. The future state was based on the current one since no changes in the process and setup times would be made during the two simulation-model. Experiments were then done to compare the different states, one with batch and the other single-piece flow. The parameters were set on equal terms and the compared values were throughput (TH), lead-time (LT) and work in process (WIP). The conclusion drawn from the results is that the future state would be more efficient.

Vigilância Epidemiológica, é a forma através do qual o SUS busca produzir impacto em termos de controle, eliminação e até erradicação de um conjunto definido de doenças imunopreveníveis. O PNI tem conseguindo bons resultados em termos de cobertura vacinais e controle de importantes doenças, embora ainda com importantes desigualdades regionais e locais. Este estudo busca conhecer os fatores que determinam a efetividade deste programa no município de São Paulo a partir de uma análise mutinível. MÉTODO: Em 2002 o Depto. de Medicina Social da FCMSCSP realizou o Inquérito de Cobertura Vacinal no primeiro ano de vida para a coorte de nascidos entre 1º de novembro de 1999 e 31 de outubro de 2000 residentes no município de São Paulo. Este inquérito domiciliar se baseou no processo de amostragem por conglomerado preconizado pela OPAS. Em cada um dos 41 Distritos de Saúde (DS) foi calculada uma amostra de 210 crianças, num total de 8610 crianças. A importância de variáveis grupais e individuais em relação a cobertura vacinal para esquema completo em crianças com um ano de idade e a participação no Dia Nacional de Vacinação (25/08/2001) foi investigada através de um modelo multinível logístico. Foram estabelecidos nesta análise três níveis: individual, conglomerado, compostos pelos setores censitários e decorrentes do processo de análise e o DS. O modelo multinível foi construído através do software MLWin 2.0. RESULTADOS: O modelo multinível para cobertura com esquema completo em crianças com um ano de idade evidenciou um efeito do DS de 0,15 com um p <0,01; um efeito do conglomerado de 0,07 e p=0,051.A inclusão das variáveis individuais quase não alterou os efeitos aleatórios dos dois níveis. No modelo final as seguintes variáveis mostraram-se associadas ao desfecho: uso de serviço privado OR de 0,64 (IC95%0,50-0,82), pessoas por cômodo um OR de 0,93 (IC95%;0,88-0,98), mãe trabalhar fora e escolaridade da mãe estiveram associadas ao desfecho e apresentaram uma interação.Os dados sugerem uma tendência de aumento da cobertura vacinal conforme aumenta a escolaridade da mãe até a categoria de 9 a 11 anos, voltando a ser menor em crianças com mães um nível de estudo maior. Em relação a participação em campanha de vacinação, o nível do DS apresentou um efeito de 0,32, e nível do conglomerado de 0,18 (p<0,001). Em relação as variáveis individuais, uso de serviço privado para vacinar apresentou um OR de 0,26 (IC95%: 0,21-0,36), mãe trabalha fora de casa um OR de 0,82 (IC95%:0,73-0,92) A escolaridade da mãe, usando a faixa de 9 a 11 anos de escolaridade da mãe por referência, apresentou até a terceira série OR de 0,97 (IC95%: 0,76-1,23), de 4 a 8 anos um OR de 0,86 (IC95%:0,75-0,98) e mais 12 anos de estudo um OR de 0,54 (IC95%:0,44-0,66). A participação em campanha foi maior conglomerados com menor renda média do chefe e no DS com maior proporção de pobres. CONCLUSÕES: Existem diferenças em relação à cobertura vacinal no município de São Paulo que não são totalmente explicadas pelas características individuais e familiares. O DS de moradia destas famílias possui um efeito de contexto sobre a cobertura vacinal. A participação em campanhas de vacinação se revela uma importante estratégia para o acesso dos segmentos menos favorecidos às vacinas. É necessário também aprofundar o conhecimento sobre a cobertura vacinal nos segmentos mais abastados do município / INTRODUCTION: In Brazil, the National Immunization Program (PNI), a branch of the National Surveillance System, is the standard approach of the Brazilian Unified Health System to control, eliminate and even eradicate a set of vaccine-preventable diseases. The PNI has attained good results in terms of vaccine coverage and controlling important diseases, although local and regional inequalities persist. This study aimed to identify which factors were influencing the effectiveness of immunization program in São Paulo City, using multilevel analysis. METHODS: In 2002 the Social Medicine Department of Santa Casa School of Medical Sciences (FCMSC) carried out a vaccine coverage survey, among residents of São Paulo City, addressing the vaccines recommended for the first year of life, among children born between November 1 of 1999 and October 31 of 2000. This household survey was done using the cluster sample technique advocated by the PAHO. In each one of the 41 Health Districts (DS) a sample of 210 infants, in a gross one of 8610, was obtained. The role of group and individuals variable levels in the vaccine coverage for the complete schedule among infants of one year of age and the participation in the National Vaccination Day (25/08/2001) were investigated through a logistic multilevel model. The analysis was performed including three levels: individual, cluster and health districts (DS). The cluster was based on the census tracts, defined by the sampling procedures. The multilevel model was performed using MLWin 2.0. software. RESULTS: The multilevel model for complete coverage with the recommended vaccines for the age group (children aged up to one year), identified at the health district (DS) an effect of 0,15 (p-value <0,01) and at the cluster level an effect of 0,07 (p=0,051). Adding individual level variables did not change the random effects of the two other levels. The final model included the following variables associated to the outcome: use of private service , (OR= 0,64, 95%CI: 0,50-0,82), number of persons by room (agglomerate), (OR= 0,93, 95%CI: 0,88-0,98). The employment status of the mother and mother\'s level of education, were both associated to the outcome and presented an interaction. Our data suggests the immunization uptake increases as the mother\'s years of education increases up to 9 to 11 years, decreasing among children whose mothers have greater level than 11 years of schooling. Regarding participation in vaccination campaign, at the DS level, the effect was 0,32, and at the cluster level the effect was 0,18 (p<0,001). At the individual level, the following characteristics were associated to the outcome: use of private clinic for vaccination (OR=0,26, 95% CI: 0,21-0,36), a working mother (OR=0,82, 95% CI:0,73-0,92). To examine the effect of mother\'s education, we used 9 to 11 years of education as the reference category. For children whose mothers had up to 3 years of education the OR was 0,97 (95% CI: 0,76-1,23); from 4 to 8 years of education the OR was 0,86 (95% CI:0,75-0,98) and for more than 12 years of study an OR of 0,54 (95% CI:0,44-0,66). The participation in campaign was bigger in clusters with lower head of household income, and bigger proportion of poor population. CONCLUSIONS: There are differences in the immunization uptake in São Paulo City that cannot be fully explained by the family and individual characteristics. The Health District, a geographic area where the household is located, poses a context effect on the vaccine coverage. Vaccine campaigns have an important role in increasing the access to vaccines for the poorest population. It is necessary further studies to a better understanding of the vaccine coverage in the wealthier segments of the town